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1.
AIDS Care ; 36(sup1): 201-210, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38502602

RESUMO

Social network strategy (SNS) testing uses network connections to refer individuals at high risk to HIV testing services (HTS). In Tanzania, SNS testing is offered in communities and health facilities. In communities, SNS testing targets key and vulnerable populations (KVP), while in health facilities it complements index testing by reaching unelicited index contacts. Routine data were used to assess performance and trends over time in PEPFAR-supported sites between October 2021 and March 2023. Key indicators included SNS social contacts tested, and new HIV-positives individuals identified. Descriptive and statistical analysis were conducted. Univariable and multivariable analysis were applied, and variables with P-values <0.2 at univariable analysis were considered for multivariable analysis. Overall, 121,739 SNS contacts were tested, and 7731 (6.4%) previously undiagnosed individuals living with HIV were identified. Tested contacts and identified HIV-positives were mostly aged ≥15 years (>99.7%) and females (80.6% of tests, 79.4% of HIV-positives). Most SNS contacts were tested (78,363; 64.7%) and diagnosed (6376; 82.5%) in communities. SNS tests and HIV-positives grew 11.5 and 6.1-fold respectively, from October-December 2021 to January-March 2023, with majority of clients reached in communities vs. facilities (78,763 vs. 42,976). These results indicate that SNS testing is a promising HIV case-finding approach in Tanzania.


Assuntos
Infecções por HIV , Teste de HIV , Rede Social , Humanos , Tanzânia/epidemiologia , Feminino , Masculino , Infecções por HIV/diagnóstico , Infecções por HIV/epidemiologia , Adulto , Teste de HIV/métodos , Adolescente , Adulto Jovem , Pessoa de Meia-Idade , Programas de Rastreamento/métodos , Apoio Social , Criança
2.
AIDS Care ; 23(10): 1246-53, 2011 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-21939403

RESUMO

Global and local efforts have been devoted to increase the supply of antiretroviral therapy (ART) in sub-Saharan Africa. Recent qualitative studies suggest that even with free ART, patients may fail to adhere to medication because of socioeconomic barriers such as transportation costs to clinics. The aim of this study was to measure adherence in a population of patients receiving free ART and to examine barriers to adherence. Adherence was measured using the pill count and self-report methods among 140 HIV-positive patients at four PEPFAR-facilitated ART clinics in Kayunga, a rural district in Uganda. Self-report was also used to examine reasons for non-adherence. Pill count adherence estimates revealed that 86.4% of the patients were adherent (≥95%) in the past six months. Self-report estimates showed that all the patients were adherent in the past six months with average adherence of 99.7%±0.6. The main reasons for non-adherence were being away from medication at dose time (29.4%) and forgetting to take pills (27.5%). Lack of access to food and transportation costs accounted for 11.7% and 7.8% of non-adherence, respectively. Patients with 100% adherence reported lack of access to food as the main challenge they had to overcome to stay adherent. Patients attending the rural clinic were significantly less adherent to ART than patients at the Kayunga district capital [OR 0.046 (0.008-0.269)]. The study revealed that the greatest patient-perceived challenge to adherence in this population is the lack of access to food; however, the immediate reasons for non-adherence were found to be forgetfulness and being away from medication at dose's time. These results suggest that interventions tackling lack of access to food are necessary, but interventions addressing forgetfulness and being away from medication at dose's time would be the most effective in enhancing adherence inpatients receiving free ART.


Assuntos
Fármacos Anti-HIV/uso terapêutico , Infecções por HIV/tratamento farmacológico , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Adesão à Medicação/estatística & dados numéricos , Adolescente , Adulto , Idoso , Fármacos Anti-HIV/economia , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Fatores de Risco , Saúde da População Rural , Autorrelato , Uganda , Adulto Jovem
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